Robyn2024
Bio major that has transitioned towards the Data Science. Currently working on building my data analytical and visualization skills at UCF.
Robyn Leslie
Pinned Repositories
Belly_Button_Challenge
In this assignment, you will build an interactive dashboard to explore the Belly Button Biodiversity datasetLinks to an external site., which catalogs the microbes that colonize human navels. The dataset reveals that a small handful of microbial species were present in more than 70% of people, while the rest were relatively rare.
Brazil-Deforestation-and-CO2-Emissions
An in-depth analysis of the correlations between deforestation, CO2 emissions, and fire outbreaks in Brazil, utilizing datasets from Kaggle and the World Data Bank. This repository contains the data, Python analysis notebooks, and visualizations that explore the environmental impacts of these factors over time.
Covid_During-_Spring_Break
Imagine you are a college student planning on taking a trip out of state to go on vacation for spring break but we are still in the middle of a pandemic. To be able to travel and actually enjoy your vacation you must avoid all heavy populated areas with Covid. This project will show you the hotspots to avoid.
Credit_Risk_Classification
I'll use various techniques to train and evaluate a model based on loan risk. I will use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
Crowdfunding_ETL
For this project we will be building an ETL pipeline using Python, Pandas, and either Python dictionary methods or regular expressions to extract and transform the data. After you transform the data, you'll create four CSV files and use the CSV file data to create an ERD and a table schema, then upload the CSV file data into a Postgres database.
CryptoClustering
In this challenge, I’ll use my knowledge of Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.
Deep-Learning-Challenge
The nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success. With my machine learning knowledge and neural networks, I’ll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.
Disease-Prediction
Training an algorithm to predict diseases based on symptoms enhances early detection and personalized treatments in healthcare. This approach, driven by machine learning, improves diagnostic accuracy, optimizes resource allocation, and empowers individuals with insights into their health risks for proactive management.
Home_Sales
I'll use my knowledge of SparkSQL to determine key metrics about home sales data. Then I'll use Spark to create temporary views, partition the data, cache and uncache a temporary table, and verify that the table has been uncached.
Robyn2024's Repositories
Robyn2024/Belly_Button_Challenge
In this assignment, you will build an interactive dashboard to explore the Belly Button Biodiversity datasetLinks to an external site., which catalogs the microbes that colonize human navels. The dataset reveals that a small handful of microbial species were present in more than 70% of people, while the rest were relatively rare.
Robyn2024/Brazil-Deforestation-and-CO2-Emissions
An in-depth analysis of the correlations between deforestation, CO2 emissions, and fire outbreaks in Brazil, utilizing datasets from Kaggle and the World Data Bank. This repository contains the data, Python analysis notebooks, and visualizations that explore the environmental impacts of these factors over time.
Robyn2024/Covid_During-_Spring_Break
Imagine you are a college student planning on taking a trip out of state to go on vacation for spring break but we are still in the middle of a pandemic. To be able to travel and actually enjoy your vacation you must avoid all heavy populated areas with Covid. This project will show you the hotspots to avoid.
Robyn2024/Credit_Risk_Classification
I'll use various techniques to train and evaluate a model based on loan risk. I will use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
Robyn2024/Crowdfunding_ETL
For this project we will be building an ETL pipeline using Python, Pandas, and either Python dictionary methods or regular expressions to extract and transform the data. After you transform the data, you'll create four CSV files and use the CSV file data to create an ERD and a table schema, then upload the CSV file data into a Postgres database.
Robyn2024/CryptoClustering
In this challenge, I’ll use my knowledge of Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.
Robyn2024/Deep-Learning-Challenge
The nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success. With my machine learning knowledge and neural networks, I’ll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.
Robyn2024/Disease-Prediction
Training an algorithm to predict diseases based on symptoms enhances early detection and personalized treatments in healthcare. This approach, driven by machine learning, improves diagnostic accuracy, optimizes resource allocation, and empowers individuals with insights into their health risks for proactive management.
Robyn2024/Home_Sales
I'll use my knowledge of SparkSQL to determine key metrics about home sales data. Then I'll use Spark to create temporary views, partition the data, cache and uncache a temporary table, and verify that the table has been uncached.
Robyn2024/Leaflet_Challenge
The United States Geological Survey, or USGS for short, is responsible for providing scientific data about natural hazards, the health of our ecosystems and environment, and the impacts of climate and land-use change. I will be building a new set of tools that will allow them to visualize their earthquake data and educate the public on these issues
Robyn2024/Mars_Exploration
You’re now ready to take on a full web-scraping and data analysis project. You’ve learned to identify HTML elements on a page, identify their id and class attributes, and use this knowledge to extract information via both automated browsing with Splinter and HTML parsing with Beautiful Soup.
Robyn2024/Matplotlib_Challenge
What good is data without a good plot to tell the story? In this assignment, you’ll apply what you've learned about Matplotlib to a real-world situation and dataset.
Robyn2024/nosql_challenge
The UK Food Standards Agency evaluates various establishments across the United Kingdom, and gives them a food hygiene rating. You've been contracted by the editors of a food magazine, Eat Safe, Love, to evaluate some of the ratings data in order to help their journalists and food critics decide where to focus future articles.
Robyn2024/Pandas_Challenge
This repository is an example of future school budgets and priorities. My job is to analyze the district-wide standardized test results and to aggregate the data to showcase obvious trends in school performance.
Robyn2024/Python-API-Challenge
Data's true power is its ability to definitively answer questions. So, let's take what you've learned about Python requests, APIs, and JSON traversals to answer a fundamental question: "What is the weather like as we approach the equator?"
Robyn2024/Python_Challenge
This repository shows a real-world application where I can use the skills learned in Python. PyBank will show how to analyze financial records for a company. It will cover the date and profit/losses of the company. PyPoll is an example of how I can modernize a rural area's vote-counting process.
Robyn2024/sqlalchemy_challenge
Congratulations! You've decided to treat yourself to a long holiday vacation in Honolulu, Hawaii. To help with your trip planning, you decide to do a climate analysis about the area. The following sections outline the steps that you need to take to accomplish this task.
Robyn2024/VBA-challenge
This is my VBA scripting challenge for module 2.